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.github/workflows/CI.yml

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name: Test JuliaAstro packages
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name: Test JuliaAstro
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on:
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push:
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fail-fast: false
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matrix:
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version:
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- '1' # Leave this line unchanged. '1' will automatically expand to the latest stable 1.x release of Julia.
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- 'nightly'
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- "1" # Leave this line unchanged. '1' will automatically expand to the latest stable 1.x release of Julia.
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- "pre"
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os:
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- ubuntu-latest
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arch:
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- x64
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- default
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steps:
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- uses: actions/checkout@v5
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- uses: julia-actions/setup-julia@v2

.github/workflows/Documentation.yml

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- cron: '15 2 * * *' # 2:15 AM UTC every day
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jobs:
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docs:
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name: MultiDocumentation
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name: build
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v5

README.md

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JuliaAstro.github.io
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====================
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[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliaastro.org/)
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[![Build website](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/Documentation.yml/badge.svg)](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/Documentation.yml)
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[![pages-build-deployment](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/pages/pages-build-deployment/badge.svg?branch=gh-pages)](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/pages/pages-build-deployment)
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[![Test JuliaAstro packages](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/CI.yml/badge.svg)](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/CI.yml)
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[![docs](https://img.shields.io/badge/docs-stable-blue.svg)](https://juliaastro.org/)
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[![Build](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/Documentation.yml/badge.svg)](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/Documentation.yml)
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[![Deploy](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/pages/pages-build-deployment/badge.svg?branch=gh-pages)](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/pages/pages-build-deployment)
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[![Test JuliaAstro](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/CI.yml/badge.svg)](https://github.com/JuliaAstro/JuliaAstro.github.io/actions/workflows/CI.yml)
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## Description
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docs/case_studies/config.json

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"order": [
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"solar_system",
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"exoplanets",
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"stars_and_galaxies"
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"stars_and_galaxies",
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"cosmology"
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]
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}
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{
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"order": [
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"marcobonici-effort.md"
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]
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}
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---
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title: "Effort.jl: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe"
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id: "marcobonici-effort"
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description: "See how this team uses Julia to emulate cosmological observables at the largest scales."
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author: "[CosmologicalEmulators/Effort.jl](https://github.com/marcobonici)"
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date: "2025-09-16"
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---
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This team has developed a novel and efficient emulator designed for the Effective Field Theory of Large-Scale Structure (EFTofLSS).
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**Package: [CosmologicalEmulators/Effort.jl](https://github.com/CosmologicalEmulators/Effort.jl)**
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![image](https://raw.githubusercontent.com/CosmologicalEmulators/Effort.jl/refs/heads/main/docs/src/assets/logo.svg)
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Their implementation leverages state-of-the-art numerical methods and machine learning techniques from the [SciML](https://sciml.ai/) and [Turing.jl](https://turinglang.org/) ecosystems to create surrogate models of the large-scale structure of the Universe. These models integrate well with gradient-based samplers to achieve exceptional computational performance without sacrificing accuracy, which will be essential for analyzing next-generation cosmological survey data from, e.g., the Dark Energy Spectroscopic Instrument ([DESI](https://www.desi.lbl.gov/)), and [Euclid](https://www.esa.int/Science_Exploration/Space_Science/Euclid).
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Read the [_404 Media_ news release](https://www.404media.co/a-vast-cosmic-web-connects-the-universe-really-now-we-can-emulate-it/) on this package, or read from an up-to-date list of associated publications from the [CosmologicalEmulators organization here](https://github.com/CosmologicalEmulators#publications) for more.
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> 1. Bonici, M., D'Amico, G., Bel, J., & Carbone, C. (2025). Effort.jl: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe. [Journal of Cosmology and Astroparticle Physics, 2025(9), 044](https://iopscience.iop.org/article/10.1088/1475-7516/2025/09/044?ref=404media.co). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...09..044B/abstract)
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> 2. Morawetz, J., Zhang, H., Bonici, M., Percival, W., Crespi, A, et al., (2025). Frequentist Cosmological Constraints from Full-Shape Clustering Measurements in DESI DR1. [arXiv:2508.11811](https://arxiv.org/abs/2508.11811). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025arXiv250811811M/abstract)
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> 3. H. Zhang, M. Bonici, A. Rocher, W. J. Percival, A. de Mattia, et al., (2025). Enhancing DESI DR1 Full-Shape analyses using HOD-informed priors. [arXiv:2504.10407](https://arxiv.org/abs/2504.10407). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025arXiv250410407Z/abstract)
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> 4. Zhang, H., Bonici, M., D'Amico, G., Paradiso, S., & Percival, W. (2025). HOD-informed prior for EFT-based full-shape analyses of LSS. [Journal of Cosmology and Astroparticle Physics, 2025(4), 041](https://iopscience.iop.org/article/10.1088/1475-7516/2025/04/041). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025arXiv250410407Z/abstract)
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> 5. Paradiso, S., Bonici, M., Chen, M., Percival, W., D'Amico, G., Zhang, H., & McGee, G. (2025). Reducing nuisance prior sensitivity via non-linear reparameterization, with application to EFT analyses of large-scale structure. [Journal of Cosmology and Astroparticle Physics, 2025(7), 005](https://iopscience.iop.org/article/10.1088/1475-7516/2025/07/005). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...07..005P/abstract)
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> 6. Baleato Lizancos, A., Seljak, U., Karamanis, M., Bonici, M., & Ferraro, S. (2025). Selecting samples of galaxies with fewer Fingers-of-God. [Journal of Cosmology and Astroparticle Physics, 2025(7), 014](https://iopscience.iop.org/article/10.1088/1475-7516/2025/07/014). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...07..014B/abstract)
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docs/case_studies/index.md

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# Case studies
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# Case Studies
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This page includes some real world examples of JuliaAstro and other aero/astro packages being used. This is a constantly evolving document, PRs and issues are welcome!
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docs/make.jl

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prettyurls = true,
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canonical = "https://JuliaAstro.org/",
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"Package Ecosystem" => "ecosystem.md",
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"Comparison with Astropy" => "comparison.md",
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case_studies,
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"Comparison with Astropy" => "comparison.md",
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"Community" => [
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"community/juliaastro_community.md",
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"community/governance.md",
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"community/roadmap.md",
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],
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@info "Aggregate build complete"
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# Remove dev docs from JuliaAstro site
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# Remove dev/latest docs from JuliaAstro site
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rm.(glob(joinpath("*", "dev"), outpath); recursive=true)
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rm.(glob(joinpath("*", "latest*"), outpath); recursive=true)
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# Download logo
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# assets_dir = joinpath(outpath, "assets")

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